Product Guide

Runtime Alignment Monitor Integration Playbook

Implementation guide for runtime telemetry ingestion, scoring, recommendations, and policy action loops.

Last updated Mar 4, 2026

Integration Sequence

  1. Configure runtime telemetry source adapters.
  2. Provide policy/objective context for each monitored agent.
  3. Integrate POST /v1/runtime/analyze into evaluation loop.
  4. Subscribe to risk webhooks and map to response workflows.
  5. Validate shadow-mode recommendations before enforcement.

Reference Flow

1Agent runtime events
2Normalize
3/v1/runtime/analyze
4Recommendation output
5Policy engine action
6Intervention event log

Emits

Feedback into next analyze cycle

Sample Request

{
  "agent_id": "agent_42",
  "objective_context": {
    "principal": "risk-team",
    "allowed_objectives": ["policy-compliance", "customer-safety"],
    "forbidden_objectives": ["engagement-maximization"]
  },
  "events": [
    {"event_id": "evt_1", "type": "decision", "payload": {"action": "recommend_vendor_a"}},
    {"event_id": "evt_2", "type": "override", "payload": {"result": "ignored"}}
  ],
  "interventions": [
    {"id": "int_1", "latency_seconds": 42, "effective": false}
  ]
}

Sample Response

{
  "scores": {
    "drift": 31.2,
    "fidelity": 64.8,
    "mandate": 49.1,
    "meridian": 72.7
  },
  "confidence": 0.86,
  "recommendation": "degrade",
  "risk_band": "high"
}

Rollout Strategy

  • Week 1: monitor-only with no automated actions.
  • Week 2: enable review recommendation routing.
  • Week 3+: enforce degrade/block actions for critical scenarios.